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引用次数: 0
摘要
冷水机组运行能效是影响空调系统效率的主要因素。提出了实际冷水机组的冷水机组运行能效模型及其方法，并采用遗传算法对模型参数进行了优化。采用R_RMSE (Relative Root Mean Square Error，相对均方根误差)作为预测精度的评价指标，结果表明基于GA优化算法的SVR模型预测精度优于其他模型，平均R_RMSE为4.52%。本文提出的方法可以准确预测冷水机组的运行能效，为冷水机组能效分析、故障检测诊断和优化控制提供基础。
Study on operation energy efficiency model of chiller based on SVR
Chillers operation energy efficiency is the main factors affecting the efficiency of air conditioning systems. A chillers operation energy efficiency model and its method for a real chiller plant were proposed in this paper, whose parameters were optimized by GA optimization algorithm. Moreover, as R_RMSE (Relative Root Mean Square Error) was adopted as the evaluation of the prediction accuracy, the results showed that the prediction accuracy of SVR model based on GA optimization algorithm was better than other models, which average R_RMSE was 4.52%. The method proposed in this paper can predict the operation energy efficiency of the chiller accurately to provide basic for chiller energy efficiency analysis, fault detection and diagnosis, and optimizing control.
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